Data Analyst

Capgemini’s interview process typically starts with an online aptitude test followed by a technical interview focusing on SQL, Python and data‑analysis case studies. The final HR round assesses cultural fit and communication skills. Candidates report a moderate difficulty level, with emphasis on logical reasoning and practical problem solving; thorough preparation of core concepts and mock interviews is highly recommended.

Round 1: Online Aptitude & Technical MCQ → Round 2: Technical Interview (SQL, Python, case study) → Round 3: HR Interview (fitment, motivations, salary expectations)

Capgemini promotes a learning‑first culture with regular upskilling workshops, mentorship and a focus on work‑life balance. Employees enjoy flexible work arrangements, global exposure and clear career ladders, making it a supportive environment for growth.

Graduation (B.Tech/B.E/MCA/BS) in Computer Science, Information Technology, Electronics, Statistics or related fields; Minimum 60% aggregate (or CGPA 6.0/10); No active backlogs at the time of application; Batch years 2020‑2026 accepted; Strong analytical mindset and good communication skills.

Capgemini is a global leader in consulting, technology services and digital transformation. With a presence in over 50 countries and a strong foothold in India, the company helps Fortune 500 clients re‑imagine their businesses through innovative solutions. Capgemini Engineering, the technology‑focused arm of the group, works on cutting‑edge software, product development and data‑driven projects for industries ranging from automotive to finance. The firm is known for its collaborative culture, continuous learning programs and a clear career progression path for fresh talent and experienced professionals alike. The Data Analyst role at Capgemini Engineering in Bangalore is a permanent position that sits at the intersection of business and technology. As a Data Analyst, you will be responsible for turning raw data into actionable insights that drive strategic decisions for clients and internal stakeholders. You will work closely with senior engineers, product managers and domain experts to understand data requirements, design analytical solutions and communicate findings in a clear, visual format. **Key Responsibilities** 1. Gather, clean and preprocess structured and unstructured data from multiple sources. 2. Perform exploratory data analysis to identify trends, patterns and anomalies. 3. Develop and maintain dashboards and reports using Power BI, Tableau or similar visualization tools. 4. Write efficient SQL queries and Python scripts for data extraction, transformation and loading (ETL). 5. Conduct statistical analysis and predictive modelling to support business cases. 6. Collaborate with cross‑functional teams to translate business problems into analytical solutions. 7. Document data pipelines, methodologies and findings for reproducibility. 8. Ensure data quality, governance and compliance with security standards. 9. Participate in agile ceremonies, provide status updates and contribute to sprint planning. 10. Mentor junior analysts and share best practices across the team. **Tech Stack**: SQL, Python (pandas, numpy), R (optional), Power BI, Tableau, Excel, Git, basic knowledge of Hadoop/Spark, REST APIs for data ingestion. **Growth Path**: Starting as a Data Analyst, you can progress to Senior Analyst, Data Scientist, Analytics Lead and eventually to Manager or Director of Analytics, with opportunities to move across domains and geographies within the Capgemini network. **Why Join Capgemini**: Working at Capgemini gives you exposure to global clients, state‑of‑the‑art tools and a culture that rewards curiosity and continuous upskilling. The company invests heavily in learning platforms, certifications and mentorship programs, ensuring that you stay ahead in the rapidly evolving data landscape. Moreover, the collaborative environment and emphasis on work‑life balance make it an ideal place for fresh graduates and early‑career professionals to launch a rewarding analytics career.